Paper: Unsupervised Discrimination And Labeling Of Ambiguous Names

ACL ID P05-2025
Title Unsupervised Discrimination And Labeling Of Ambiguous Names
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2005
Authors

This paper describes adaptations of unsu- pervised word sense discrimination tech- niques to the problem of name discrimina- tion. These methods cluster the contexts containing an ambiguous name, such that each cluster refers to a unique underlying person or place. We also present new tech- niques to assign meaningful labels to the discovered clusters.